03548ntm a22005537i 4500 000120063 CZ-PrVSE 20210619205335.0 m d cr n|||||||||| 210619s2021 xr fsbm 000 0 eng d NEZPRACOVANÝ IMPORT ABA006 cze ABA006 ABA006 rda Al Bari, Huzaifa Mahmood ISIS:152152 dis IMPACT OF TECHNOLOGICAL READINESS ON ADOPTING ARTIFICIAL INTELLIGENCE IN ACCOUNTING eng IMPACT OF TECHNOLOGICAL READINESS ON ADOPTING ARTIFICIAL INTELLIGENCE IN ACCOUNTING / Huzaifa Mahmood Al Bari 2021 ?? stran : digital, PDF soubor Vedoucí práce: Oto Křivanec Diplomová práce (Ing.)—Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví, 2021 Obsahuje bibliografii Textový (vysokoškolská kvalifikační práce) Rok obhajoby 2021 This Master’s Thesis is focused on Artificial Intelligence in Accounting in terms of the changing environment, increasing challenges, automation and the Technological readiness of Accounting Students and Entry-Level Accountants who are the target population of the study. This quantitative correlation study was conducted to find the relationship between the technological readiness and technological adoption of Artificial Intelligence enabled technologies in accounting and auditing which is vital in coping with the challenges posed by changing environment. The study was conducted in regards to the TR and TA perseverance of accounting students and entry-level accountants, of which the respondents were (n=104) which consisted of Bachelor level, Masters and PHD level accounting students from Prague University of Economics and Business and entry level accountants from DXC Technology shared service center in Prague. The participants were presented with a questionnaire survey through google forms online platform. Using the forms of analysis such as bivariate correlation and linear regression it was concluded that TR, PU and PEOU have a positive influence in the TA of A.I. by accounting students and entry-level accountants and that TR positively impacts PU and PEOU. Způsob přístupu: Internet finance and accounting [obor dipl. práce] diplomové práce fd132022 czenas master's theses eczenas Bivariate Correlation Linear Regression Analysis Artificial Intelligence, Technological Acceptance Robotic Process Automation Pearson’s Correlation, Technological Readiness Perceived Usefulness, Perceived Ease of Use. Machine Learning, Technological Acceptance Křivanec, Oto ISIS:74510 ths Kmoch, Štěpán ISIS:8016 opn Vysoká škola ekonomická v Praze. Fakulta financí a účetnictví kn20010709398 dgg https://insis.vse.cz/zp/75323/podrobnosti VŠKP v InSIS https://insis.vse.cz/zp/75323 Hlavní práce https://insis.vse.cz/zp/75323/posudek/vedouci Hodnocení vedoucího https://insis.vse.cz/zp/75323/posudek/oponent/70140 Oponentura https://insis.vse.cz/zp/75323/podrobnosti dc:identifier NEPOSILAT VSKP vse75323 210610 75323